Differently, the component-wise based methods [1]}, [2]}, [3]}, [4]}, [5]} first generate the local components based on the pixel-wise predictions, and then focus on exploring the grouping strategies (, heuristic rules, linkage estimation, relationship reasoning, etc.). For example, TextSnake [1]} reconstructs entire text instances by sliding a circle along the central axis. Instead of the offline reconstruction, ICG [3]} regards the linkages between the estimated rotated squares as a binary classification, to dynamically formulate the entire text instance. Moreover, DRRGN [4]} and ReLaText [5]} further deduce the relationships between local components with the graph convolution network.
